Evidence map›Paper›PMID 23557871›Full record

ReviewJournal of hepatology2013

Exosomes in the pathogenesis, diagnostics and therapeutics of liver diseases.

Anatoliy I Masyuk, Tatyana V Masyuk, Nicholas F Larusso

Abstract readReview
In one paragraph

Review in Journal of hepatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

153 citing papers in PubMed.

  1. Review
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  15. Article
  16. [Regulatory effect ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

93 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anatoliy I MasyukMayo Clinic College of Medicine, Department of Internal Medicine, Rochester, MN, USA.
Tatyana V Masyuk
Nicholas F Larusso

Funding

PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
The Pathobiology of Hepatic EpitheliaR01DK024031 · NIDDK · MAYO CLINIC ROCHESTER · PI LARUSSO, NICHOLAS F. · 1986 to 2023
$10.4M
Pathophysiology of Biliary DiseaseR01DK057993 · NIDDK · MAYO CLINIC ROCHESTER · PI LARUSSO, NICHOLAS F., O'HARA, STEVEN P · 2001 to 2025
$7.1M
PATHOBIOLOGY OF HEPATIC EPITHELIAR37DK024031 · NIDDK · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI LARUSSO, NICHOLAS F. · 1991 to 1998
–
NIDDK NIH HHS DK24031NIDDK NIH HHS DK57993NIDDK NIH HHS P30 DK084567NIDDK NIH HHS P30DK084567NIDDK NIH HHS R01 DK024031NIDDK NIH HHS R01 DK057993
6 · The paper itself

Abstract

Exosomes are small (30-100 nm in diameter) extracellular membrane-enclosed vesicles released by different cell types into the extracellular space or into biological fluids by exocytosis as a result of fusion of intracellular multivesicular bodies with the plasma membrane. The primary function of exosomes is intercellular communication with both beneficial (physiological) and harmful (pathological) potential outcomes. Liver cells are exosome-releasing cells as well as targets for endogenous exosomes and exosomes derived from cells of other organs. Despite limited studies on liver exosomes, initial observations suggest that these vesicles are important in liver physiology and pathophysiology. In this review, we briefly summarize the recent findings on liver exosomes, their functions and significance for novel diagnostic and therapeutic approaches.

Indexed as

AnimalsCell CommunicationExocytosisExosomesHumansLiverLiver DiseasesSignal TransductionBiomarkersExosomesLiver diseasesTherapeutics

Identifiers

PMID23557871
PMCPMC3831338

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.